Browsing by Author "El Ola S."

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    Fuzzy gaussian classifier for combining multiple learners
    (2010) Ali F.; El Gayar N.; El Ola S.; Faculty of Computer Science; October University for Modern Science and Arts; 6th October City; Egypt; Faculty of Computers and Information; Cairo University; Giza; Egypt; Center for Informatics Science; School of Communication and Information Technology; Nile University; Giza; Egypt
    In the field of pattern recognition multiple classifier systems based on the combination of outputs from different classifiers have been proposed as a method of high performance classification systems. The objective of this work is to develop a fuzzy Gaussian classifier for combining multiple learners, we use a fuzzy Gaussian model to combine the outputs obtained from K-nearest neighbor classifier (KNN), Fuzzy K-nearest neighbor classifier and Multi-layer Perceptron (MLP) and then compare the results with Fuzzy Integral, Decision Templates, Weighted Majority, Majority Na�ve Bayes, Maximum, Minimum, Average and Product combination methods. Results on two benchmark data sets show that the proposed fusion method outperforms a wide variety of existing classifier combination methods.